A Model to Detect Forest Change Relating to Mining Using Google Earth Engine Application in Belitung Island, Indonesia

Jena, R; Pradhan, B

A Model to Detect Forest Change Relating to Mining Using Google Earth Engine Application in Belitung Island, Indonesia

Jena, R Pradhan, B

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Publication Type:: Conference Proceeding
Citation:: International Conference on Space Science and Communication, IconSpace, 2019, 2019-July pp. 47 - 52
Issue Date:: 2019-07-01

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Field	Value	Language
dc.contributor.author	Jena, R	en_US
dc.contributor.author	Pradhan, B https://orcid.org/0000-0001-9863-2054	en_US
dc.date.accessioned	2020-04-10T06:46:16Z
dc.date.available	2021-08-12T19:00:42Z
dc.date.issued	2019-07-01	en_US
dc.identifier.citation	International Conference on Space Science and Communication, IconSpace, 2019, 2019-July pp. 47 - 52	en_US
dc.identifier.isbn	9781538683941	en_US
dc.identifier.issn	2165-4301	en_US
dc.identifier.uri	http://hdl.handle.net/10453/139952
dc.description.abstract	© 2019 IEEE. Belitung Island is one of the biodiversity hotspots in Indonesia that is best known for its multi-use landscape, tourism, large agricultural land, tin mining and all other activities. The main earning possibility of local people of the island is most efficiently lies in coastal activities and tin mining. Main challenges are persistent cloud cover over the steep and vegetated terrain that creates a problem in forest change mapping. This research was conducted to identify and visually analyse the forest loss or gain due to tin mining activity and settlement along with the consequences of illegal logging using the Google earth engine application. Furthermore, this study will also help to understand the areas of water bodies filled after mining making it inactive. Therefore, NDVI and MNDWI analysis have been conducted to calculate the index values using the (GEE) Google earth engine and graphically presented. Landsat +ETM, MODIS global land cover, Hansen global forest change and other remote sensing data applied to conduct this research. The results obtained from this study shows that the width of forestry land cover is decreased gradually from 2012 to 2017 and the active tin mining, agricultural land, and settlement are widely increased. The inactive tin-mined areas are filled with water that can be well understood from the elevation modelling. Furthermore, the forest gain is also increasing mildly as per the results of change detection in forest gain analysis from 2012 to 2017. This clearly indicates the change of forest resulting due to the active tin mining and inactive tin-mined water filled land as well as the human settlement.	en_US
dc.relation.ispartof	International Conference on Space Science and Communication, IconSpace	en_US
dc.relation.isbasedon	10.1109/IconSpace.2019.8905960	en_US
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.title	A Model to Detect Forest Change Relating to Mining Using Google Earth Engine Application in Belitung Island, Indonesia	en_US
dc.type	Conference Proceeding
utslib.citation.volume	2019-July	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Information, Systems and Modelling
pubs.organisational-group	/University of Technology Sydney/Strength - CAMGIS - Centre for Advanced Modelling and Geospatial lnformation Systems
utslib.copyright.status	open_access	*
pubs.publication-status	Published	en_US
pubs.volume	2019-July	en_US

Abstract:

© 2019 IEEE. Belitung Island is one of the biodiversity hotspots in Indonesia that is best known for its multi-use landscape, tourism, large agricultural land, tin mining and all other activities. The main earning possibility of local people of the island is most efficiently lies in coastal activities and tin mining. Main challenges are persistent cloud cover over the steep and vegetated terrain that creates a problem in forest change mapping. This research was conducted to identify and visually analyse the forest loss or gain due to tin mining activity and settlement along with the consequences of illegal logging using the Google earth engine application. Furthermore, this study will also help to understand the areas of water bodies filled after mining making it inactive. Therefore, NDVI and MNDWI analysis have been conducted to calculate the index values using the (GEE) Google earth engine and graphically presented. Landsat +ETM, MODIS global land cover, Hansen global forest change and other remote sensing data applied to conduct this research. The results obtained from this study shows that the width of forestry land cover is decreased gradually from 2012 to 2017 and the active tin mining, agricultural land, and settlement are widely increased. The inactive tin-mined areas are filled with water that can be well understood from the elevation modelling. Furthermore, the forest gain is also increasing mildly as per the results of change detection in forest gain analysis from 2012 to 2017. This clearly indicates the change of forest resulting due to the active tin mining and inactive tin-mined water filled land as well as the human settlement.

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http://hdl.handle.net/10453/139952